Artificial intelligence algorithms require large quantities of data. The methods utilized to obtain this data have raised issues about privacy, security and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continuously gather personal details, raising concerns about invasive information gathering and unapproved gain access to by third parties. The loss of privacy is further exacerbated by AI's ability to procedure and integrate huge quantities of data, potentially leading to a monitoring society where individual activities are continuously monitored and examined without adequate safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has taped millions of private discussions and allowed momentary employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance range from those who see it as a necessary evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only method to provide important applications and have actually established a number of techniques that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually begun to view privacy in regards to fairness. Brian Christian wrote that professionals have actually rotated "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code